Feeling Pain and Being in Pain

Total Page:16

File Type:pdf, Size:1020Kb

Feeling Pain and Being in Pain Hanse-Studien / Hanse Studies Hanse-Wissenschaftskolleg Delmenhorst Hanse Institute for Advanced Study Band 1 / Volume 1 Nikola Grahek Feeling Pain and Being in Pain bis Bibliotheks- und Informationssystem der Universität Oldenburg 2001 Hanse-Studien / Hanse Studies Hanse-Wissenschaftskolleg Delmenhorst Hanse Institute for Advanced Study herausgegeben von Prof. Dr. Dr. Gerhard Roth und Uwe Opolka In der Reihe Hanse-Studien / Hanse Studies erscheinen – in deutscher oder englischer Sprache – unveröffentlichte Forschungsarbeiten, die am Hanse-Wissenschaftskolleg (HWK) in Delmenhorst entstanden sind, sowie Berichte über vom HWK durchgeführte Konferenzen. Das Hanse-Wissenschaftskolleg ist eine gemeinnützige Stiftung privaten Rechts der Länder Bremen und Niedersachsen sowie der Stadt Delmenhorst. Es wurde 1995 gegründet und nahm 1997 seine Arbeit auf. Seine Hauptaufgabe besteht in der Stärkung des überregional und international anerkannten Forschungspotentials der umliegenden Universitäten und Forschungseinrichtungen, insbesondere der Universitäten Oldenburg und Bremen. Seine derzeitigen Arbeitsschwerpunkte liegen auf den Gebieten Meeres- und Klimaforschung, Neuro- und Kognitionswissenschaften, Sozialwissenschaften / Sozialpolitik sowie auf interdisziplinären Projekten. In diesen Bereichen beruft es Fellows und führt Tagungen durch. Anschriften der Herausgeber: Prof. Dr. Dr. Gerhard Roth Uwe Opolka Hanse-Wissenschaftskolleg Hanse-Wissenschaftskolleg Lehmkuhlenbusch 4 Lehmkuhlenbusch 4 27753 Delmenhorst 27753 Delmenhorst Telefon: 0 42 21/91 60-108 Telefon: 0 42 21/91 60-109 Telefax: 0 42 21/91 60-199 Telefax: 0 42 21/91 60-199 e-mail: [email protected] e-mail: [email protected] Verlag/Druck/ Bibliotheks- und Informationssystem der Vertrieb Carl von Ossietzky Universität Oldenburg (BIS) – Verlag Postfach 2541, 26015 Oldenburg Telefon: +49-4 41-7 98-22 61 Telefax: +49-4 41-7 98-40 40 e-mail: [email protected] ISBN 3-8142-0780-7 3 Contents Acknowledgments 1. Introduction 7 2. The Biological Function and Importance of Pain 12 3. Dissociation Phenomena in Human Pain Experience 31 4. Pain Asymbolia 42 5. How Is Pain Without Painfulness Possible? 51 6. Conceptual and Theoretical Implications of Pain Asymbolia 70 7. Pain Quality and Painfulness Without Pain 89 8. Not Caring for Pain 105 9. C and All That Fibers 131 References 153 Index 160 4 For Ana, Ivan and Nela and to the memory of Aleksandar Kron 5 Acknowledgments This book was conceived and written while I was fellow of the Hanse-Wissenschaftskolleg (Hanse Institute for Advanced Study) in Delmenhorst (Germany). I am grateful to the Rector of Hanse Insti- tute, Gerhard Roth, for support, encouragement and understanding. My special thanks go to my host, Hans Flohr, for his interest, friend- ship and fruitful discussions that we had. I am indebted to the staff of the Hanse Institute and to all fellows for the wonderful time that I had during my twelve months stay. I am particularly grateful to Mechthild Harders-Opolka and to Uwe Opolka for their friendship and support. For long-term support and lasting interest in my work I am indebted to Daniel Dennett, Boris Velichkovsky, Jay Rosenberg, David Rosenthal, Helmut Hildebrandt, Peter Bieri, Milos Arsenijevic, Zivan Lazovic, Jovan Arandjelovic and Leon Kojen. 6 7 1. Introduction This book is principally devoted to the thorough consideration and general theoretical appreciation of the two most radical dissociation syndromes to be found in human pain experience. The first syndrome is related to the complete dissociation between sensory and affective, cognitive and behavioral components of pain, while the second one has to do with absolute dissociation that goes into opposite direction: the full dissociation of affective components of human pain experi- ence from its sensory-discriminative components. The former syn- drome can be called pain without painfulness and the latter one pain- fulness without pain. In the first case, one is able to feel pain but is not able to be in pain, while in the second case one is able to be in pain but not able to feel pain. Taking into account our common ex- perience of pain, it might well seem to us that the two syndromes just described are inconceivable and, thus, impossible. In order to make them more intelligible and, thus, less inconceivable, the crucial dis- tinction between feeling pain and being in pain is introduced and ex- plained on conceptual and empirical grounds. But the main point is that pain without painfulness as well as painfulness without pain are, however bizarre or outlandish, nonetheless possible, for the simple reason that ample clinical evidence conclusively shows that they can be found in human pain experience. So, the question is not whether they exist or can exist, but what they can teach us about the true nature and structure of human pain experience. Accordingly, the ma- jor theoretical aim of this book will be to appreciate what lessons are to be learned from the consideration of these syndromes as far as our very concept or, more importantly, our very experience of pain is concerned. The first lesson being that pain, although appearing to us as simple, homogenous experience, is actually a complex experience comprising sensory-discriminative, emotional-cognitive and behavioral compo- nents which commonly go together, but may well be disconnected and thus exist, to our great astonishment, separately. The second les- son being that pain, once deprived of all its affective, cognitive and behavioral components, loses all its representational and motivational 8 force: that it is no longer a signal of threat or damage and doesn’t move ones mind and body in any way. The third lesson being that pain, when deprived of its sensory-discriminative components, comes to such sensory indeterminacy that it cannot be distinguished from other unpleasant sensations or sensations of other quality, and looses all informational power with regard to the location, intensity, tempo- ral profile and nature of harmful stimuli. Thus, the two most radical dissociation syndromes in human pain experience may well reveal to us the really complex nature of pain; its major constitutional ele- ments; the proper role that they play in overall pain experience; the way that they work together as well as the basic neural structures and mechanisms that subserve them. Pain without painfulness is to be found in patients who suffer from the so-called pain asymbolia, and it is characteristic for these patients that they feel pain upon harmful stimulation, but that it doesn’t in any way represent for them the sign of threat or danger: that they do not care for it at all and even smile or laugh at it. But as I will try to show, this pain which doesn’t represent any threat or danger to the subject, poses gross threat both to the subjectivist and to the objectivist con- ceptions or interpretations of the true nature and structure of human pain experience. That is, to the subjectivist view that the sensation of pain with its distinctive phenomenal content or quality – the what-it- is-likeness of pain – is the essential component of our total pain ex- perience and plays the central or fundamental role in it. And also to the objectivists claim that the feeling of pain is to be understood just as the awareness of objective bodily state of affairs: as the perception or sensory representation of bodily or tissue damage. Actually, the consideration of pain asymbolia syndrome might well help us to clearly see the rights and wrongs of the subjectivist and objectivist conceptions of pain. In other words, it may help us to see what is the proper role of pain sensation or pain quality in overall pain experience as well as to understand the proper mode in which pain represents physical damage to the body part or at least threat to the physical well-being. Pain asymbolia syndrome or pain without any painfulness is yet in another conceptual and theoretical respect important for the proper 9 understanding of human pain experience. Namely, this syndrome holds a unique position among reactive dissociation syndromes to be found in human pain experience. As I will try to show, it is to be re- garded as the only clear-cut case in which quite severe pain is not at all experienced as unpleasant and in which there are no traces of any other aversive attitude toward it. Besides, it is the only case of com- plete, thoroughgoing indifference to pain, and is the sole one that is distinguished by total absence of any appropriate pain behavior and any tendency or disposition toward such behavior. But due to its purity and simplicity, the case of pain asymbolia or of pain without painfulness is also the most perspicuous case of the pain that has lost all its biological function and significance: it is recognized by the subject as pain and is felt as located at certain body part, but means nothing to him and is at best something that one laughs or smiles at. Bentham has said that Nature has placed mankind “under the governance of two sovereign masters: pain and pleasure” (1948, p. 1). But which pain? What part of pain? How pain has power over mankind? To get an answer to these questions, we have to look more closely at the biological significance and function of pain, and the opening chapter of this book will exactly be devoted to the consideration of these issues. The analysis of the biological significance and function of pain, as well as the inquiry into the true nature and structure of pain through the study of dissociation phenomena in human
Recommended publications
  • Why Feelings Stray: Sources of Affective Misforecasting in Consumer Behavior Vanessa M
    Why Feelings Stray: Sources of Affective Misforecasting in Consumer Behavior Vanessa M. Patrick, University of Georgia Deborah J. MacInnis, University of Southern California ABSTRACT drivers of AMF has considerable import for consumer behavior, Affective misforecasting (AMF) is defined as the gap between particularly in the area of consumer satisfaction, brand loyalty and predicted and experienced affect. Based on prior research that positive word-of-mouth. examines AMF, the current study uses qualitative and quantitative Figure 1 depicts the process by which affective misforecasting data to examine the sources of AMF (i.e., why it occurs) in the occurs (for greater detail see MacInnis, Patrick and Park 2005). As consumption domain. The authors find evidence supporting some Figure 1 suggests, affective forecasts are based on a representation sources of AMF identified in the psychology literature, develop a of a future event and an assessment of the possible affective fuller understanding of others, and, find evidence for novel sources reactions to this event. AMF occurs when experienced affect of AMF not previously explored. Importantly, they find consider- deviates from the forecasted affect on one or more of the following able differences in the sources of AMF depending on whether dimensions: valence, intensity and duration. feelings are worse than or better than forecast. Since forecasts can be made regarding the valence of the feelings, the specific emotions expected to be experienced, the INTRODUCTION intensity of feelings or the duration of a projected affective re- Before purchase: “I can’t wait to use this all the time, it is sponse, consequently affective misforecasting can occur along any going to be so much fun, I’m going to go out with my buddies of these dimensions.
    [Show full text]
  • Classification of Human Emotions from Electroencephalogram (EEG) Signal Using Deep Neural Network
    (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 9, 2017 Classification of Human Emotions from Electroencephalogram (EEG) Signal using Deep Neural Network Abeer Al-Nafjan Areej Al-Wabil College of Computer and Information Sciences Center for Complex Engineering Systems Imam Muhammad bin Saud University King Abdulaziz City for Science and Technology Riyadh, Saudi Arabia Riyadh, Saudi Arabia Manar Hosny Yousef Al-Ohali College of Computer and Information Sciences College of Computer and Information Sciences King Saud University King Saud University Riyadh, Saudi Arabia Riyadh, Saudi Arabia Abstract—Estimation of human emotions from [1]. Recognizing a user‘s affective state can be used to Electroencephalogram (EEG) signals plays a vital role in optimize training and enhancement of the BCI operations [2]. developing robust Brain-Computer Interface (BCI) systems. In our research, we used Deep Neural Network (DNN) to address EEG is often used in BCI research experimentation because EEG-based emotion recognition. This was motivated by the the process is non-invasive to the research subject and minimal recent advances in accuracy and efficiency from applying deep risk is involved. The devices‘ usability, reliability, cost- learning techniques in pattern recognition and classification effectiveness, and the relative convenience of conducting applications. We adapted DNN to identify human emotions of a studies and recruiting participants due to their portability have given EEG signal (DEAP dataset) from power spectral density been cited as factors influencing the increased adoption of this (PSD) and frontal asymmetry features. The proposed approach is method in applied research contexts [3], [4]. These advantages compared to state-of-the-art emotion detection systems on the are often accompanied by challenges such as low spatial same dataset.
    [Show full text]
  • Physiological Studies of the Vestibulosympathetic Reflex in Humans
    ! ! ! Physiological Studies of the Vestibulosympathetic Reflex in Humans Elie Hammam, BMedSci (Hons I) School of Medicine University of Western Sydney Supervisor Prof. Vaughan Macefield Co-Supervisor Prof. Kenny Kwok A thesis submitted to the University of Western Sydney in candidature for the award of Doctor of Philosophy, 2014 ! ! "! ! ! ! STATEMENT OF AUTHENTICATION I, Elie Hammam, declare that this thesis is based entirely on my own independent work, except for sections which were performed in collaboration with colleagues as acknowledged in the study and resulted in the publication of the journal articles shown below. To the best of my knowledge this project does not contain material previously submitted in fulfillment of the guidelines and requirements for the award of Doctor of Philosophy in the School of Medicine, University of Western Sydney, and has not been submitted for qualifications at any other academic institution. Elie Hammam ! ! ! ! #! ! ! ! ACKNOWLEDGEMENTS Undertaking the highest scholarly exercise a University offers has certainly been a long, arduous, but nevertheless a fulfilling journey. Now completed, reflection has allowed me to appreciate that what I have achieved is merely a credit to my efforts. I am deeply indebted to the guidance of my mentors, encouragements from friends and support from family. First and foremost, I wish to acknowledge my stellar supervisor Vaughan Macefield who has never shied from supporting me throughout my candidature. Vaughan, from the very beginning you believed in me and never ceased to impart your knowledge, skills and wisdom. You have ensured all throughout my candidature that I get a holistic development in preparation to a life with academic excellence.
    [Show full text]
  • What We Mean When We Talk About Suffering—And Why Eric Cassell Should Not Have the Last Word
    What We Mean When We Talk About Suffering—and Why Eric Cassell Should Not Have the Last Word Tyler Tate, Robert Pearlman Perspectives in Biology and Medicine, Volume 62, Number 1, Winter 2019, pp. 95-110 (Article) Published by Johns Hopkins University Press For additional information about this article https://muse.jhu.edu/article/722412 Access provided at 26 Apr 2019 00:52 GMT from University of Washington @ Seattle What We Mean When We Talk About Suffering—and Why Eric Cassell Should Not Have the Last Word Tyler Tate* and Robert Pearlman† ABSTRACT This paper analyzes the phenomenon of suffering and its relation- ship to medical practice by focusing on the paradigmatic work of Eric Cassell. First, it explains Cassell’s influential model of suffering. Second, it surveys various critiques of Cassell. Next it outlines the authors’ concerns with Cassell’s model: it is aggressive, obscure, and fails to capture important features of the suffering experience. Finally, the authors propose a conceptual framework to help clarify the distinctive nature of sub- jective patient suffering. This framework contains two necessary conditions: (1) a loss of a person’s sense of self, and (2) a negative affective experience. The authors suggest how this framework can be used in the medical encounter to promote clinician-patient communication and the relief of suffering. *Center for Ethics in Health Care and School of Medicine, Oregon Health and Science University, Portland. †National Center for Ethics in Health Care, Washington, DC, and School of Medicine, University of Washington, Seattle. Correspondence: Tyler Tate, Oregon Health and Science University, School of Medicine, Depart- ment of Pediatrics, 3181 SW Sam Jackson Park Road, Portland, OR 97239-3098.
    [Show full text]
  • About Emotions There Are 8 Primary Emotions. You Are Born with These
    About Emotions There are 8 primary emotions. You are born with these emotions wired into your brain. That wiring causes your body to react in certain ways and for you to have certain urges when the emotion arises. Here is a list of primary emotions: Eight Primary Emotions Anger: fury, outrage, wrath, irritability, hostility, resentment and violence. Sadness: grief, sorrow, gloom, melancholy, despair, loneliness, and depression. Fear: anxiety, apprehension, nervousness, dread, fright, and panic. Joy: enjoyment, happiness, relief, bliss, delight, pride, thrill, and ecstasy. Interest: acceptance, friendliness, trust, kindness, affection, love, and devotion. Surprise: shock, astonishment, amazement, astound, and wonder. Disgust: contempt, disdain, scorn, aversion, distaste, and revulsion. Shame: guilt, embarrassment, chagrin, remorse, regret, and contrition. All other emotions are made up by combining these basic 8 emotions. Sometimes we have secondary emotions, an emotional reaction to an emotion. We learn these. Some examples of these are: o Feeling shame when you get angry. o Feeling angry when you have a shame response (e.g., hurt feelings). o Feeling fear when you get angry (maybe you’ve been punished for anger). There are many more. These are NOT wired into our bodies and brains, but are learned from our families, our culture, and others. When you have a secondary emotion, the key is to figure out what the primary emotion, the feeling at the root of your reaction is, so that you can take an action that is most helpful. .
    [Show full text]
  • Assessment of Traumatic Nerve Injuries
    American Association of Neuromuscular & Electrodiagnostic Medicine AANEM ASSESSMENT OF TRAUMATIC NERVE INJURIES Lawrence R. Robinson, MD Jeffrey G. Jarvik, MD, MPH David G. Kline, MD 2005 AANEM COURSE G AANEM 52nd Annual Scientific Meeting Monterey, California Assessment of Traumatic Nerve Injuries Lawrence R. Robinson, MD Jeffrey G. Jarvik, MD, MPH David G. Kline, MD 2005 COURSE G AANEM 52nd Annual Scientific Meeting Monterey, California AANEM Copyright © September 2005 American Association of Neuromuscular & Electrodiagnostic Medicine 421 First Avenue SW, Suite 300 East Rochester, MN 55902 PRINTED BY JOHNSON PRINTING COMPANY, INC. ii Assessment of Traumatic Nerve Injuries Faculty Lawrence R. Robinson, MD David G. Kline, MD Professor Boyd Professor and Head Department of Rehabilitation Medicine Department of Neurosurgery University of Washington Louisiana State University Medical Center Seattle, Washington New Orleans, Louisiana Dr. Robinson attended Baylor College of Medicine and completed his res- Dr. Kline is currently a Boyd Professor and Head of the Department of idency training in rehabilitation medicine at the Rehabilitation Institute of Neurosurgery at Louisiana State University (LSU) Medical Center in New Chicago. He now serves as professor and chair of the Department of Orleans. He earned his medical degree from the University of Rehabilitation Medicine at the University of Washington and is the Pennsylvania, then performed his internship at the University of Michigan. Director of the Harborview Medical Center Electrodiagnostic Laboratory. He performed residencies at the University of Michigan and Walter Reed He is also currently Vice Dean for Clinical Affairs at the University of General Hospital and Institute of Research. Dr. Kline has served on sever- Washington.
    [Show full text]
  • Emotion Classification Using Physiological Signals
    Emotion Classification Using Physiological Signals Byoung-Jun Park1, Eun-Hye Jang1, Myoung Ae Chung1, Sang-Hyeob Kim1*, Jin Hun Sohn2* 1IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, 305-700 2Department of Psychology/Brain Research Institute, Chungnam National University, Daejeon, 305-765 ABSTRACT Objective: The aim of this study is to discriminate negative emotions, such as sadness, fear, surprise, and stress using physiological signals. Background: Recently, the main topic of emotion classification research is to recognize human’s feeling or emotion using various physiological signals. It is one of the core processes to implement emotional intelligence in human computer interaction (HCI) research. Method: Electrodermal activity (EDA), electrocardiogram (ECG), skin temperature (SKT), and photoplethysmography (PPG) are recorded and analyzed as physiological signals. And emotional stimuli are audio-visual film clips which have examined for their appropriateness and effectiveness through preliminary experiment. For classification of negative emotions, five machine learning algorithms, i.e., LDF, CART, SOM, and Naïve Bayes are used. Results: Result of emotion classification shows that an accuracy of emotion classification by CART (84.0%) was the highest and by LDA (50.7%) was the lowest. SOM showed emotion classification accuracy of 51.2% and Naïve Bayes was 76.2%. Conclusion: We could identify that CART was the optimal emotion classification algorithm for classifying 4 negative emotions (sadness, fear, surprise, and stress). Application: This result can be helpful to provide the basis for the emotion recognition technique in HCI. Keywords: Emotion classification, Negative emotion, Machine learning algorithm, Physiological signal 1. Introduction Nasoz, Alvarez, Lisetti, and Finkelstein, 2003).
    [Show full text]
  • The Role of Sympathetic Nervous Activity in Chronic Renal Failure
    Journal of Clinical and Basic Cardiology An Independent International Scientific Journal Journal of Clinical and Basic Cardiology 2001; 4 (3), 179-182 The Role of Sympathetic Nervous Activity in Chronic Renal Failure Rump LC Homepage: www.kup.at/jcbc Online Data Base Search for Authors and Keywords Indexed in Chemical Abstracts EMBASE/Excerpta Medica Krause & Pachernegg GmbH · VERLAG für MEDIZIN und WIRTSCHAFT · A-3003 Gablitz/Austria FOCUS ON SYMPATHETIC TONE Sympathetic Overactivity in Chronic Renal Failure J Clin Basic Cardiol 2001; 4: 179 The Role of Sympathetic Nervous Activity in Chronic Renal Failure L. C. Rump Cardiovascular morbidity and mortality are extremely high in patients with chronic renal failure. Preventing progression of chronic renal failure and reducing the cardiovascular risk of uraemic patients are major challenges for nephrologists. In the past the renin-angiotensin system has been the main focus of research and therapy efforts. Today we know that sympathetic over- activity plays an important role for progression and prognosis in chronic renal disease. Afferent signals arising from the dam- aged kidneys due to the activation of mechanoreceptors and chemoreceptors lead to efferent sympathetic nervous activation. This results in an enhanced release of the sympathetic neurotransmitters noradrenaline, ATP and NPY at important neuro- effector junctions in heart, kidney and blood vessels. All three sympathetic cotransmitter are able to induce vasoconstriction and to stimulate proliferative processes. Recently it was shown in an animal model of chronic renal failure that inhibition of sympa- thetic nervous activity by moxonidine ameliorates disease progression. This effect was independent from blood pressure reduc- tions and likely due to reduced cotransmitter release.
    [Show full text]
  • OWNING YOUR FEELINGS Tips for Success
    OWNING YOUR FEELINGS It can be easy to get caught up in your emotions as you’re feeling them. Most people don’t think about what emotions they are dealing with, but taking the time to really identify what you’re feeling can help you to better cope with challenging situations. The English language has over 3,000 words for Tips for success emotions. Allow yourself to feel. Sometimes there are societal pressures that encourage people to shut down their emotions, often expressed through People who are good at statements like, “Big girls don’t cry,” or “Man up.” These outdated ideas are being specific about harmful, not helpful. Everyone has emotionsthey are part of the human identifying and labeling experienceand you have every right to feel them, regardless of gender, their emotions are less sexual orientation, ethnicity, socio-economic status, race, political likely to binge drink, be affiliation or religion. physically aggressive, or selfinjure when Don’t ignore how you’re feeling. Most of us have heard the term “bottling up distressed. your feelings” before. When we try to push feelings aside without addressing them, they build strength and make us more likely to “explode” at some point in When schoolaged kids are the future. It may not always be appropriate to process your emotions at the taught about emotions for very moment you are feeling them, but try to do so as soon as you can. 20-30 minutes per week their social behavior and Talk it out. Find someone you trust that you can talk to about how you’re school performance feeling.
    [Show full text]
  • Emotion Classification Based on Biophysical Signals and Machine Learning Techniques
    S S symmetry Article Emotion Classification Based on Biophysical Signals and Machine Learning Techniques Oana Bălan 1,* , Gabriela Moise 2 , Livia Petrescu 3 , Alin Moldoveanu 1 , Marius Leordeanu 1 and Florica Moldoveanu 1 1 Faculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, Bucharest 060042, Romania; [email protected] (A.M.); [email protected] (M.L.); fl[email protected] (F.M.) 2 Department of Computer Science, Information Technology, Mathematics and Physics (ITIMF), Petroleum-Gas University of Ploiesti, Ploiesti 100680, Romania; [email protected] 3 Faculty of Biology, University of Bucharest, Bucharest 030014, Romania; [email protected] * Correspondence: [email protected]; Tel.: +40722276571 Received: 12 November 2019; Accepted: 18 December 2019; Published: 20 December 2019 Abstract: Emotions constitute an indispensable component of our everyday life. They consist of conscious mental reactions towards objects or situations and are associated with various physiological, behavioral, and cognitive changes. In this paper, we propose a comparative analysis between different machine learning and deep learning techniques, with and without feature selection, for binarily classifying the six basic emotions, namely anger, disgust, fear, joy, sadness, and surprise, into two symmetrical categorical classes (emotion and no emotion), using the physiological recordings and subjective ratings of valence, arousal, and dominance from the DEAP (Dataset for Emotion Analysis using EEG, Physiological and Video Signals) database. The results showed that the maximum classification accuracies for each emotion were: anger: 98.02%, joy:100%, surprise: 96%, disgust: 95%, fear: 90.75%, and sadness: 90.08%. In the case of four emotions (anger, disgust, fear, and sadness), the classification accuracies were higher without feature selection.
    [Show full text]
  • View of High Frequency Alternating Currents for Inducing Nerve Block
    REDUCTION OF THE ONSET RESPONSE IN HIGH FREQUENCY NERVE BLOCK by DOUGLAS MICHAEL ACKERMANN, JR. Submitted in partial fulfillment of the requirements For the degree of Doctor of Philosophy Dissertation Adviser: Niloy Bhadra, M.D., Ph.D. Department of Biomedical Engineering CASE WESTERN RESERVE UNIVERSITY January, 2010 TITLE PAGE CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of Douglas Michael Ackermann, Jr. candidate for the Ph.D. degree *. (signed) ______________P. Hunter Peckham______________ (chair of the committee) _______________Kevin L. Kilgore_______________ ______________Cameron McIntyre______________ _________________Niloy Bhadra_________________ ___________________Joe Payer___________________ (date) _____November 23, 2009_____ *We also certify that written approval has been obtained for any proprietary material contained therein. COMMITTEE SIGNATURE PAGE DEDICATION I would like to dedicate this dissertation to my wonderful family, friends and colleagues who make life so much fun. TABLE OF CONTENTS TABLE OF CONTENTS ..................................................................................................... i LIST OF TABLES .............................................................................................................. v LIST OF FIGURES ........................................................................................................... vi ACKNOWLEDGEMENTS ............................................................................................
    [Show full text]
  • On Emotion Specificity in Decision Making
    Judgment and Decision Making, Vol. 3, No. 1, January 2008, pp. 18–27. On emotion specificity in decision making: Why feeling is for doing Marcel Zeelenberg∗1, Rob M. A. Nelissen1, Seger M. Breugelmans2, & Rik Pieters3 1 Department of Social Psychology and TIBER, Tilburg University 2 Department of Developmental, Clinical and Cross-cultural Psychology, Tilburg University 3 Department of Marketing and TIBER, Tilburg University Abstract We present a motivational account of the impact of emotion on decision making, termed the feeling-is-for-doing approach. We first describe the psychology of emotion and argue for a need to be specific when studying emotion’s impact on decision making. Next we describe what our approach entails and how it relates emotion, via motivation to behavior. Then we offer two illustrations of our own research that provide support for two important elements in our reasoning. We end with specifying four criteria that we consider to be important when studying how feeling guides our everyday doing. Keywords: emotion, decision making, motivation, action. 1 Introduction 1988). Bounded rationality may be helped by the exis- tence of emotion, because emotions restrict the size of the Most theories of rational decision making are descrip- consideration set and focus the decision maker on certain, tively implausible, especially if taken as process models. relevant aspects of the options (Hanoch, 2001). Emotions The idea that we take the time and invest the effort to pro- assign value to objects, aid the learning of how to ob- duce a list of advantages and disadvantages, or costs and tain those objects, and provide the motivation for doing benefits for all alternatives in each single decision and so (Gifford, 2002).
    [Show full text]